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Rewards Analytics and Distribution Dashboard for Quantification Review¶

This document processes the outputs of the praise reward system and performs an analysis of the resulting token reward distribution.

Out[6]:

Distribution report for round-40

  • This period covers praise given between 2024-01-17 and 2024-01-31.
  • We allocated a total of 15853.333333333332 TEC tokens for rewards.
  • Duplicate praise received a weighting of 0.1 the value of the original praise.
  • We assigned 3 quantifiers per praise instance.
  • Praise receiver names were not hidden behind pseudonyms during quantification

Praise Data Visualization¶

Rating distribution¶

Since praise gets valued on a scale, we can take a look at how often each value of the scale gets assigned by quantifiers. Note: This metric disregards scores of praise marked as a duplicate, since the score of the original is already being taken into account.

Top 10 highest rated contributions¶

The ten highest rated contributions for this round were the following:

Out[9]:
Avg. score To Reason
125.666666666667 karmaticacid#0 Just for bringing QF to Giveth. I remember her insight from the begining that she beleive it's teh feature that can boost Gievth and now we can see how impactful it is. I think it's the first time a feature itself brings growth to the DApp. Praise for her insight, dedication, marketing and performing from A-Z.
107.333333333333 karmaticacid#0 for such great leadership skills during the QF round.. listening to the needs of our team and responding quickly and strategically to each situation. Providing documentation, adjusting emails, communicating with Polygon, collecting issues... I can go on! Shes amazing and Most of Giveth would break without her.
96.0 karmaticacid#0 for her amazing twitter space with Polygon for the QF round, as well as the 100s of back n forth to ensure this round is the largest ever for us
96.0 karmaticacid#0 for running & hosting a late-night Twitter space for the Meta Pool APAC round. idk about you, A, but I am soooo tired doing this at almost 10pm my time, and I think we deserve some BIG PRAISE for making this happen for Giveth, making things accessible for the Asia region, but like super sleepy for us <3
96.0 mohammad_ranjbar_z#0 to work together on finishing email service migration 👏🏻👏🏻
96.0 griffgreen#0 omg PRAISE GRIFF. he did such hugely important work looking through the data from subsquid to determine that yes, indeed we missed like 240 donations in the polygon QF round. he spent like hours on this, navigating polygonscan like only a true OG knows how... and it makes me think like "what would ever do without griff". super niche skill detective work. what a hero
84.6666666666667 oyealmond#0 for being a huge help for me on onboarding solana projects, she took the list I started and ran with it! She found the projects and DM'ed them on twitter, helped them book time on my calendar or showed me how to join their discord to continue chatting with them, I was feeling very desperate about finding time to do this and she kicked it off!
84.6666666666667 Maryjaf#2478 Again, she's our eyes in the dark uses-cases, great QAs and being responsible and so communicative around bugs with debs
77.6666666666667 karmaticacid#0 for organizing the data so well, this is soooo juicy and will make our lives easier as the chaos of QF really ramps up! https://www.notion.so/giveth/Giveth-QF-Round-Spreadsheets-b10e1d0d639d498bb522fcab1bfc3360
77.6666666666667 oyealmond#0 for consistent, endless amazing comms work. almost every day I throw something new at her - octant announcement, disqualifying factors for QF rounds, metapool announcement, polygon twitter space - and every day she produces high quality, extremely clear, extremely timely work... she is the engine of the train that is Giveth comms and I am SO grateful for her

Praise Reward Distribution¶

We can now take a look at the distribution of the received praise rewards. You can toggle the inclusion of the different sources by clicking on the legend.

Praise Giving Distribution¶

We can also take a look at the amount of praise different users gave.

Praise Flows¶

Now for something more fun: let's surface the top "praise flows" from the data. Thanks to @inventandchill for this awesome visualization! On one side we have the top 15 praise givers separately, on the other the top 25 receivers. The people outside the selection get aggregated into the "REST FROM" and "REST TO" categories.

Out[13]:

Quantifier Data¶

Now let's take a closer look at the quantification process and the quantifiers:

Praise Outliers¶

To aid the revision process, we highlight disagreements between quantifiers.

Outliers sort by spreads¶

This graphic visualizes controversial praise ratings by sorting them by the "spread" between the highest and lowest received score.

Please keep in mind that this is a visual aid. If there are several praise instances with similar spread and quant score, all but one end up "hidden" on the chart. For an exhaustive list, take a look at the exported file "praise_outliers.csv" .

Praise score by quantifier -- outliers among the quantifiers?¶

Let's see how different quantifiers behaved by showing the range of praise scores they gave.

To interpret the box plot:

  • Bottom horizontal line of box plot is minimum value

  • First horizontal line of rectangle shape of box plot is First quartile or 25%

  • Second horizontal line of rectangle shape of box plot is Second quartile or 50% or median.

  • Third horizontal line of rectangle shape of box plot is third quartile or 75%

  • Top horizontal line of rectangle shape of box plot is maximum value.

Score displacement: tendency to under/over-scoring?¶

Scoring correlation: how similiar am I scoring with others?¶

Agreement on duplication¶

Out[22]:

Among 205 praises, 40 (19.51%) do not agree on duplication

Praise instances with disagreements in duplication are collected in 'results/duplication_examination.csv'. To compare, look at the last 4 columns: 'DUPLICATE MSG 1/2/3' and 'ORIGINAL MSG'.

Agreement on dismissal¶

Out[25]:

Among 205 praises, 2 (0.98%) do not agree on dismissal

Praise instances with disagreements in dismissal are collected in'results/dismissal_disaggreed.csv'. You can further look into who dismissed and who did not.